How to Use the Transloadit MCP in LlamaIndex

Q: Can I query past templates with Transloadit and LlamaIndex?

Yes. By including template metadata via listtemplates or gettemplate, you index the structure itself. This lets users search based on what a template does, not just its name.

Q: Does Transloadit support financial data indexing with LlamaIndex?

Yes. You can index the results from getbill to create a searchable knowledge base of your billing history and usage patterns.

Q: What is the process for querying assembly results with Transloadit and LlamaIndex?

You first call getassembly to retrieve the status or result, then feed that output into your BasicMCPClient connection. The index treats this API data as a knowledge source.

Index Transloadit processing results and configurations for advanced querying using LlamaIndex.

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Connect Transloadit MCP to LlamaIndex

Create your Vinkius account to connect Transloadit to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Transloadit with LlamaIndex

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Query historical job outcomes.

Instead of just calling `get_assembly`, you index the results. This allows your RAG application to answer queries grounded in actual API data, like 'What was the result of assembly ABC last week?' LlamaIndex builds a unified, queryable index from these live file processing assembly outputs.

Store and search reusable templates.

You can pass template details—retrieved via `get_template` or `list_templates`—into your knowledge base. This means you don't just store the template; you index its function, allowing semantic searches on configuration. This turns static metadata into actionable, searchable knowledge for your LlamaIndex application.

Manage and retrieve financial records.

You can feed billing information from `get_bill` directly into the index. This lets users ask complex questions like, 'How did my costs change compared to last month's assemblies?' This capability ensures that raw API data remains available for advanced knowledge retrieval.

Setup guide

Set up Transloadit MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Transloadit MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Transloadit tools.",
)
response = await agent.run("List recent Transloadit data")

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Common questions about Transloadit MCP in LlamaIndex

It takes live outcomes and configurations, indexing them into your vector store. This grounds the answers in actual API calls to Transloadit data, eliminating hallucinations.

Yes. By including template metadata via `list_templates` or `get_template`, you index the structure itself. This lets users search based on what a template does, not just its name.

Yes. You can index the results from `get_bill` to create a searchable knowledge base of your billing history and usage patterns.

The server allows you to index file processing assemblies, template configurations, and financial records. The resulting index combines these structured data points for search.

You first call `get_assembly` to retrieve the status or result, then feed that output into your BasicMCPClient connection. The index treats this API data as a knowledge source.

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